A Surgical Bullet-Time Video Capturing System Depending on Surgical Situation скачать в хорошем качестве

A Surgical Bullet-Time Video Capturing System Depending on Surgical Situation

by Yinghao Wang, Chun Xie, Hidehiko Shishido, Shinji Hashimoto, Tatsuya Oda, Itaru Kitahara In recent years, capturing surgical video has become popular for education and case studies in surgical technology. However, there is always a problem of obscuration caused by the surgeon's head or hands when using a fixed surgical camera for surgery. To improve the quality of surgical videos, we propose a capturing system with multiple cameras installed between the surgeon and the patient. In this paper, we propose an effective method to automatically switch the viewpoint of multi-view surgical videos. When there is an occlusion in the current view, the system can switch to other cameras and rearrange the captured video sequences into bullet-time videos to ensure that details and surgical procedures are recorded. We also adopt a learning-based object detection method to automatically set the gaze points of certain objects from the multi-view surgical video.